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dc.creatorFainti R., Karasimou M., Tsionas I., Tsoukalas L.H., Alamaniotis M.en
dc.date.accessioned2023-01-31T07:37:34Z
dc.date.available2023-01-31T07:37:34Z
dc.date.issued2019
dc.identifier10.1109/IISA.2018.8633621
dc.identifier.isbn9781538637319
dc.identifier.urihttp://hdl.handle.net/11615/71441
dc.description.abstractThe aim of the current study is the development and the evaluation of a fully automated controller based on fuzzy logic for the control of the charging time of Electric Vehicles (EVs) based on user's preferences and the amount of congestion on the grid. This is paramount for the stability and the safety of the electricity infrastructure due to the excessive load that is introduced with the advent of EVs and the rapidly growing demand for electricity in the modern society. All the simulations and the experiments have been contacted using the GridLAB-D simulation platform. ©2018 IEEEen
dc.language.isoenen
dc.source2018 9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85062822580&doi=10.1109%2fIISA.2018.8633621&partnerID=40&md5=8be13f2f19e29c28bc08607442a5ed5c
dc.subjectBudget controlen
dc.subjectCharging timeen
dc.subjectComputer circuitsen
dc.subjectControl engineeringen
dc.subjectElectric load managementen
dc.subjectElectric power plant loadsen
dc.subjectElectric vehiclesen
dc.subjectPower marketsen
dc.subjectSimulation platformen
dc.subjectTraffic congestionen
dc.subjectVehicle-to-griden
dc.subjectElectric Vehicles (EVs)en
dc.subjectElectricity infrastructureen
dc.subjectFully automateden
dc.subjectGrowing demanden
dc.subjectLoad shiftingen
dc.subjectUser's preferencesen
dc.subjectFuzzy logicen
dc.subjectInstitute of Electrical and Electronics Engineers Inc.en
dc.titleLoad management of electric vehicles charging in new generation power markets based on fuzzy logic and the concept of virtual budgeten
dc.typeconferenceItemen


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